The Best Zillow Scrapers in 2026: Ranked and Tested

Zillow, a leading real estate platform in the U.S., boasts a vast dataset with 228 million monthly active users and over 130 million U.S. homes, though extracting data from it is challenging due to its dual-layer anti-bot protection. The article evaluates various tools for scraping Zillow data, highlighting Bright Data for its outstanding 98.44% success rate in independent benchmarks and features like a pre-built Zillow scraper and extensive residential IP network. Other tools such as Apify, Oxylabs, and ScrapingBee are praised for specific strengths like no-code workflows, enterprise-grade reliability, and quick setup, respectively. The text delves into the technical challenges of scraping Zillow, such as its JavaScript-heavy Next.js architecture and aggressive IP blocking, and emphasizes the need for residential proxies and advanced CAPTCHA solvers. It discusses various use cases for Zillow data, from real estate investment to mortgage lead generation, and notes that while Bright Data stands out for reliability and comprehensive features, the choice of tool depends on factors like data volume, technical resources, and budget.